Manufacturing Data Scientist

  • Job Reference: 1459973325-2
  • Date Posted: 2 October 2024
  • Employer: Randstad Inhouse Services
  • Location: Merseyside
  • Salary: £61,116
  • Sector: Engineering and Technical
  • Job Type: Permanent

Job Description

Are you experienced in Data Science and seeking a fresh challenge?

Are you ready to take on a pivotal role in manufacturing and enhancing essential production?

Do you have a passion for the future of electric vehicles?

Join the team at Ford Transmissions Halewood as a Manufacturing Data Scientist!

Salary: 61,116.53 (inclusive of 35% holiday bonus for 33 days per year; 25 vacation and 8 bank holidays)

Hours: Monday to Thursday 7:00-15:30 and Friday 7:00-12:30

Benefits:

  • Access to the Employee Development and Assistance Programme (EDAP)
  • Discounted Ford vehicles through the Privilege scheme
  • Competitive pension scheme and annual salary increases
  • Generous holiday allowance of 25 days
  • Take advantage of the Cycle to Work Scheme
  • Enjoy on-site facilities such as a gym, sauna, steam room, and more

Key Responsibilities:

  • Identify and drive new opportunities to improve plant efficiency using your data science expertise.
  • Extract, transform, and analyse complex manufacturing data, reporting insights to support plant operations.
  • Develop and maintain data visualisation tools and dashboards to communicate insights effectively.
  • Collaborate with our central innovation network and global data analytics teams, serving as the plant's point of contact.
  • Help build a dynamic data science team within the plant and lead data training across departments.

Qualifications and Experience:

  • A degree in Data Analytics, Computer Science, Statistics, Mathematics, Physical Sciences, or a related field-or equivalent experience in a similar engineering/automotive environment.
  • Strong problem-solving skills, with a track record of providing data support to manufacturing investigations.
  • Experience automating data pipelines and using Big Data Analytics tools, with cloud database experience.
  • Proficiency in SQL and Python programming, and a solid understanding of current and emerging data technologies.
  • A proactive, driven individual who excels in teamwork and leadership, with the ability to inspire and motivate others.
  • Resilience and a positive attitude when faced with challenges.